Reconstruction of Campus Learning Space Driven by Computer Science

Ping Su, Linyi Luo, Lin Lin

2023

Abstract

Under the trend of the transformation of higher education pattern driven by computer science, the campus learning space is also continuously reconstructed and iterated. The most typical phenomenon is that the conventional university library is gradually replaced by the complex learning center. As a campus complex, the configuration of the learning center in terms of function orientation, composition and indicators has been greatly improved compared with the library. The reconstruction of functional positioning will inevitably lead to the reconstruction of the spatial pattern of learning center, forming typical spatial characteristics that are different from library buildings, such as sharing, openness, flexibility, and individuality.

Paper Citation

in Harvard Style

Su P., Luo L. and Lin L. (2023). Reconstruction of Campus Learning Space Driven by Computer Science. In Proceedings of the 2nd International Seminar on Artificial Intelligence, Networking and Information Technology - Volume 1: ANIT; ISBN 978-989-758-677-4, SciTePress, pages 165-171. DOI: 10.5220/0012276700003807

in Bibtex Style

@conference{anit23,
author={Ping Su and Linyi Luo and Lin Lin},
title={Reconstruction of Campus Learning Space Driven by Computer Science},
booktitle={Proceedings of the 2nd International Seminar on Artificial Intelligence, Networking and Information Technology - Volume 1: ANIT},
year={2023},
pages={165-171},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012276700003807},
isbn={978-989-758-677-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Seminar on Artificial Intelligence, Networking and Information Technology - Volume 1: ANIT
TI - Reconstruction of Campus Learning Space Driven by Computer Science
SN - 978-989-758-677-4
AU - Su P.
AU - Luo L.
AU - Lin L.
PY - 2023
SP - 165
EP - 171
DO - 10.5220/0012276700003807
PB - SciTePress